Asynchronous digenetic Particle Swarm Optimization for global and sustainable search

Yoshinao Ishii, Takashi Okamoto, Eitaro Aiyoshi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Particle Swarm Optimization (PSO), which has attracted attention as a global optimization method in recent years, has a drawback in that sustainable search cannot be performed until the end of computation due to its strong convergence trend. In this paper, in order to realize a sustainable search in PSO, the improved PSO using concepts of particle ages and digenesis is proposed. In the new PSO, parameters in the update formula are degenerated and a stagnant particle is erased if it loses activity, and then a new search point in which large parameter values are assigned. In addition, information regarding the elite point of all searching points until the current time is reflected to new points in next generation. The effectiveness of the improved method is confirmed through applications to benchmark problems.

Original languageEnglish
Pages (from-to)626-634
Number of pages9
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number3
Publication statusPublished - 2011


  • Digenesis
  • Global search
  • Nonlinear dissipative term
  • Particle swarm optimization
  • Sustainable search

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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